Magdalena Ponce de León
Neuroimaging & Data Analytics Specialist
Magdalena Ponce de León is an independent neuroimaging consultant and PhD candidate in Clinical Neurosciences at the Medical University of Vienna, with 6+ years of experience in PET/MRI workflows, quantitative imaging, and advanced data analysis. She partners with imaging centers, clinical teams, and research groups to transform complex imaging data into actionable, stakeholder-ready insights that enhance diagnostics, research, and decision-making.
Her expertise spans MATLAB, Python, R, SPM12, FSL, FreeSurfer, ANTs, and PMOD, enabling the design of tailored, reproducible pipelines for preprocessing, volume of interest segmentation, quantification, and reporting — improving diagnostic precision and operational efficiency.
Multilingual (Spanish, English, Italian, German) and experienced in international, multidisciplinary collaborations, Magdalena provides consultancy to optimize workflows, reporting, and scientific communication for clinical and research teams.
As the founder and developer of Veralia, she is bridging the gap between cutting-edge neuroimaging research and clinical reality. While many medical centers still rely on subjective visual interpretation of PET scans—often missing subtle disease indicators—Veralia provides a standardized, automated solution that integrates seamlessly into the physician’s workflow.
Veralia was born from her experience in clinical environments and my research in neuroimaging. It solves key diagnostic challenges: reducing subjectivity, correcting for motion artifacts, and standardizing quantitative analysis. By moving beyond manual interpretation, Veralia delivers stakeholder-ready reports in minutes, improving diagnostic confidence and operational efficiency.